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A Novel Web Pages Classification Model Based on Integrated Ontology

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Book cover Software Engineering, Business Continuity, and Education (ASEA 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 257))

Abstract

The main existed problem in the traditional text classification methods is can’t use the rich semantic information in training data set. This paper proposed a new text classification model based SUMO (The Suggested Upper Merged Ontology) and WordNet ontology integration. This model utilizes the mapping relations between WordNet synsets and SUMO ontology concepts to map terms in document-words vector space into the corresponding concepts in ontology, forming document-concepts vector space, based this, we carry out a text classification experiment. Experiment results show that the proposed method can greatly decrease the dimensionality of vector space and improve the text classification performance.

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Author information

Authors and Affiliations

  1. Institute of Scientific & Technical Information, Shandong University of Technology, Zibo, 255049, China

    Bai Rujiang, Wang Xiaoyue & Hu Zewen

Authors
  1. Bai Rujiang
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  2. Wang Xiaoyue
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  3. Hu Zewen
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Catholic University of Daegu, South Korea

    Haeng-kon Kim

  4. Dept. of Computer Engineering, Mokwon University, 800, Doan-dong, Seo-gu, 302-729, Daejeon, Korea

    Heau-jo Kang

  5. Woosuk University, 565-701, Jeollabuk-do, Korea

    Kyung Jung Kim

  6. University of Michigan-Dearborn, Dearborn, MI, USA

    Akingbehin Kiumi

  7. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

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© 2011 Springer-Verlag Berlin Heidelberg

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Rujiang, B., Xiaoyue, W., Zewen, H. (2011). A Novel Web Pages Classification Model Based on Integrated Ontology. In: Kim, Th., et al. Software Engineering, Business Continuity, and Education. ASEA 2011. Communications in Computer and Information Science, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27207-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-27207-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27206-6

  • Online ISBN: 978-3-642-27207-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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